importmatplotlib.pyplotasplt# 创建一个简单的图表fig,ax=plt.subplots()ax.plot([1,2,3,4],[1,4,2,3])# 设置x轴标签ax.set_xlabel('X Axis Label - how2matplotlib.com')# 获取x轴标签对象x_label=ax.xaxis.get_label()# 打印标签文本print(x_label.get_text())plt.show() Python ...
ax.set_ylabel("y Axis label", fontsize=14) 设置坐标轴spine是否可见 ax.spines['top'].set_visible(False)ax.spines['right'].set_visible(False) 官网例子 importnumpyasnpimportmatplotlib.pyplotaspltfrommatplotlib.patchesimportCirclefrommatplotlib.patheffectsimportwithStrokefrommatplotlib.tickerimportAutoMino...
1. 设置x轴和y轴label的位置: fig = plt.figure() axes = fig.add_subplot(111) axes.plot(np.random.randn(10)) axes.set_xlabel("x coordate") # 设置x轴label的位置为(0.-0.1) axes.xaxis.set_label_coords(0,-0.1) 1. 2. 3. 4. 5. 6. 2. 设置刻度上的刻度格式: import matplotlib....
1. 设置x轴和y轴label的位置: fig = plt.figure() axes = fig.add_subplot(111) axes.plot(np.random.randn(10)) axes.set_xlabel("x coordate") # 设置x轴label的位置为(0.-0.1) axes.xaxis.set_label_coords(0,-0.1) 2. 设置刻度上的刻度格式: import matplotlib.ticker as ticker fig = plt...
("how2matplotlib.com Basic Usage")# 为x轴标签添加路径效果ax.xaxis.label.set_path_effects([path_effects.Stroke(linewidth=3,foreground='blue'),path_effects.Normal()])# 获取x轴标签的路径效果x_label_effects=ax.xaxis.label.get_path_effects()print("X-axis label path effects:"...
# 设置x轴label的位置为(0.-0.1) axes.xaxis.set_label_coords(0,-0.1) 2. 设置刻度上的刻度格式: importmatplotlib.ticker as ticker fig =plt.figure() axes = fig.add_subplot(111) axes.plot(np.random.randn(10)) axes.set_xlabel("x coordate") ...
importmatplotlib.pyplotaspltplt.figure(dpi=100)#plt.style.use('seaborn-whitegrid')plt.plot([1,2,3],label='legend1',#label添加图例名称)plt.plot([2,4,6],label='legend2',#label添加图例名称)legend=plt.legend(loc=9,#图例位置bbox_to_anchor=(0.45,1),#控制图例相对于figure,这里不是axes的...
plt.ylabel("This is the y-label") # Defining the title of the plot plt.title("Demonstrating how to hide axis in matplotlib") ax.invert_xaxis() # Displaying the plot plt.show() # Defining the main() function def main(): # Defining the data points ...
TextLabels属性是一个Dictionary<double, string>类型的集合,其中double表示刻度的位置,string表示刻度的文本。例如,可以使用以下代码添加刻度标签:xAxis.Scale.TextLabels = new Dictionary<double, string> { { 1, "Label 1" }, { 2, "Label 2" }, { 3, "Label 3" }, // 添加更多刻度标签... };...
import os.path as op import scipy.io as sio import numpy as np import matplotlib.pyplot as plt from matplotlib import dates as mdates def my_format_function(x, pos=None): x = mdates.num2date(x) fmt = '%M:%S.%f' label = x.strftime(fmt) label = label.rstrip("0") label = labe...